Model-based whole-brain effective connectivity to study distributed cognition in health and disease
Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. Among the many analysis tools available, dynamic mode...
Main Authors: | Gilson, Matthieu, Zamora-López, Gorka, Pallarés, Vicente, Adhikari, Mohit H., Senden, Mario, Campo, Adrià Tauste, Mantini, Dante, Corbetta, Maurizio, Deco, Gustavo, Insabato, Andrea |
---|---|
Format: | Article |
Language: | English |
Published: |
The MIT Press
2020-01-01
|
Series: | Network Neuroscience |
Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/netn_a_00117 |
Similar Items
-
Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity.
by: Adrián Ponce-Alvarez, et al.
Published: (2015-02-01) -
Nonparametric test for connectivity detection in multivariate autoregressive networks and application to multiunit activity data
by: M. Gilson, et al.
Published: (2017-12-01) -
Inferring neural information flow from spiking data
by: Adrià Tauste Campo
Published: (2020-01-01) -
Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.
by: Adrià Tauste Campo, et al.
Published: (2018-04-01) -
Neurodynamical model of confidence decision-making in LIP
by: Deco Gustavo, et al.
Published: (2011-07-01)